Data often holds the key to optimizing internal processes and valuable market insights. Data Analytics can improve decision-making and lead to a better understanding of these processes, improving the organization’s strategic results.
Of all the world data, more than 90% has been collected in the last five years (IBM, 2018). Almost all companies have started to use integrated software systems, providing the opportunity to store nearly all information imaginable in extensive databases. Hidden within these huge data piles are valuable insights that can make a real difference for an organization’s strategic decision-making. How can these game-changers be unraveled for many organizations that do not have sufficient data experts at their disposal?
Often the issue lies within the complexity of the available databases. Today’s ERP systems, such as those from SAP, Oracle or Microsoft, keep track of almost everything. These enormous databases contain a great deal of raw and unusable information in its current form. On top of that, multiple databases often lack unambiguous structure, have qualitative and quantitative information interchangeably, and do not lend themselves to simple statistical computations. Its analysis calls in advanced data transformation and interpretation skills, which often may not be available in-house. This lack of resources can put your organization at risk.
So how does an organization use Data Analytics to extract valuable insights?
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